Big data Courses

Hadoop and Big Data Course Overview

Big Data Analytics Course SingaporeOur training is designed to help the individual gain in-depth knowledge on all the concepts of Big data and Hadoop tools from basics to advanced level techniques. You will also get an exposure to work on two real-time industry based projects which are in line with Hadoop Certification Exam. Enroll now and get certified in it.

Learn Hadoop & Big Data Analytics Course Singapore

Duration:2 Days Big Data Analytics Course

  • One Time Free Refresh Class in 6 Month
  • SkillsFuture Approved Course
  • Hands-On Exercises
  • Attention to each participants
  • Step-By-Step Course
  • 100% Satisfactory Record
  • Trained more than 10000 Participants
  • 10 Year Experienced Trainer

Hadoop Course Objectives

Course Objectives
Upon completion of our training, you will be able to:

  • Understand writing HDFS/MapReduce programs
  • Learn writing and utilizing Hive & Pig Scripts effectively
  • Understand internal architecture/design involved on all the Hadoop platforms
  • Enhance coding skills using Hbase & Sqoop tools

Why should you learn Hadoop to grow your career?

  • According to MarketsandMarkets, the market for Hadoop big data analytics will grow up to USD 50 billion in the next two years.
  • Based on a recent McKinsey survey, there is a shortage of over 1,500,000 data experts in the previous year. So, the demand for Hadoop professionals is high.
  • The Average Salary of a Big Data Hadoop Developer is $135,000 per annum –

Who should learn Hadoop?
The below job roles are benefited with Hadoop Training:

  • Software Developers
  • Project Managers
  • ETL and Data Warehousing Professionals
  • Software Architects
  • Data Analysts & Business Intelligence Professionals
  • DBAs
  • Mainframe professionals
  • Data Engineers
  • Senior IT Professionals
  • Testing professionals
  • Graduates interested in Big Data Field

What are the prerequisites for the Hadoop course?

There are no specific prerequisites to learn Hadoop. Prior knowledge of Java and SQL is beneficial.

What will you learn in this Hadoop training?
After completing this training, the learners will gain knowledge on:

  • Hadoop basics and Hadoop ecosystem
  • Managing, monitoring, scheduling and troubleshooting Hadoop clusters effectively
  • Working with Apache Spark, Scala and Storm for real-time data analytics
  • Working with Hive, Pig, HDFS, MapReduce, Sqoop, ZooKeeper and Flume
  • Testing of Hadoop clusters with MRUnit and other automation tools
  • Successfully integrating various ETL tools with Hive, Pig, and Map Reduce

Introduction of Big Data

  • Building Blocks of Hadoop – HDFS, MapReduce, and YARN
  • Course Overview
  • Introducing Hadoop
  • Installing Hadoop
  • Storing Data with HDFS
  • Processing Data with MapReduce
  • Scheduling and Managing Tasks with YARN

Apache Hive

  • Course Overview
  • Hive vs. RDBMS
  • Getting Started with Basic Queries in Hive
  • Creating Databases and Tables
  • Using Complex Data Types and Table Generating Functions
  • Understanding Constraints in Subqueries and Views
  • Designing Schema for Hive

Flume and Sqoop

  • Course Overview
  • Why do we need Flume and Sqoop?
  • Installing Flume
  • Flume Agent and Flume Events
  • Installing Sqoop
  • Sqoop imports

Oozie Orchestration Framework

  • A Brief Overview Of Oozie
  • Oozie Install And Set Up
  • Workflows: A Directed Acyclic Graph Of Tasks
  • Coordinators: Managing Workflows
  • Bundles: A Collection Of Coordinators For Data Pipelines

Apache Pig

  • Course Overview
  • Introducing Pig
  • Using the GRUNT Shell
  • Loading Data into Relations
  • Working with Basic Data Transformations
  • Working with Advanced Data Transformations

Basics of streaming

  • Apache Kafka architecture and key concepts
  • Apache Storm and key concepts
  • Stream Processing with Spark Streaming

Big Data Hadoop Optimizations